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Skill Base Web Deploy

Community
ginuim
skill-base-web-deploy

Skill Base server deployment guide. Covers starting the Skill Base server (npx skill-base), Docker configuration, port mapping, SQLite database backup, and platform capabilities (collections, tags, GitHub import). For deploying and operating the Skill Base platform itself only.

Overview

Publisherginuim
Repositoryskill-base
Skill nameskill-base-web-deploy
Stars
121
Forks
26
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by ginuim on GitHub. Read the source before you install it.

Installation

Install the Skill Base Web Deploy AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/ginuim/skill-base/tree/main/skills/skill-base-web-deploy
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ginuim/skill-base.git /tmp/skill-base
mkdir -p .claude/skills
cp -r /tmp/skill-base/skills/skill-base-web-deploy .claude/skills/skill-base-web-deploy
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Skill Base Web Deploy in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Skill Base Web Deploy on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Skill Base Web Deploy is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Skill Base Web Server Deployment

This skill guides you through setting up and operating the Skill Base platform server. Requires Node.js >= 18.

When to Use This Skill

  • When users request private deployment, hosting, or running the Skill Base server (npx skill-base or Docker).
  • When users ask about Skill Base server host/port configuration (-h, -p), data directory (-d), or how to back up the database.

When NOT to Use This Skill

  • When users want to use the skb command to search, install, or publish specific skills (refer to skill-base-cli instead).
  • When users ask about Docker, ports, or database configuration for non-Skill Base projects (avoid misuse).

Contributor profiles

The Web UI includes /users/:id and GET /api/v1/users/:user_id/profile. Deploy the rebuilt static/ together with the updated server. No new environment variables or database migration are required: contributions use existing version uploaders and respect skill visibility.

Publish/settings presentation changes require rebuilding web/ into static/; no server configuration or migration is needed.

Quick Start (npm package)

bash
# Recommended: fix the data directory for easy backup and migration
npx skill-base -d ./skill-data -p 8000

Default port is 8000; if -d is not specified, data will be stored in npm cache-related paths. In production, always use -d to point to a specific directory.

Startup Options (npx skill-base)

OptionDescription
-p, --portListening port, default 8000
-h, --hostListening address, default 0.0.0.0 (listens on all local network cards/IPv4 addresses, accessible from both internal and external networks; set to 127.0.0.1 for local-only access)
-d, --data-dirData root directory; sets DATA_DIR and DATABASE_PATH=<dir>/skills.db
--base-pathDeployment base path prefix, default / (e.g., /skills/ for subpath deployment)
--no-cappyDisable Cappy the capybara mascot
-v, --verboseEnable debug logging
--helpShow help information
--versionShow version number

Intranet or local hardening example: npx skill-base --host 127.0.0.1 -p 8000 -d ./data

Subpath deployment example: npx skill-base --base-path /skills/ -p 8000

Debug mode example: npx skill-base -v -d ./data

First Access

When no administrator exists, opening the site in a browser will launch the initialization wizard: create a system administrator account and password. Afterward, team members need to be added by the administrator, and users log in via Web and CLI.

Platform Capabilities (Post-Deploy)

After the server is running, the Web UI and CLI share the same backend:

CapabilityWeb UICLI
Browse / search skillsYesskb search
Version history & changelogsYesskb update
Tags & favoritesYes (admin tag library; owner assigns tags)—
Collections (admin-curated packs, max 10 skills)Browse on homeskb install --collection <id_or_slug>
GitHub import (public repos only)Publish pageskb import-github
Desktop clientdocs/desktop.mdSame install/update logic as CLI

Collections are flat recommendation packs maintained by admins — they link to skills via collection_skills, not a folder hierarchy. Clients install the whole pack in one zip download.

Development/Production Run from Source Directory

bash
pnpm install
pnpm start
# Or for development: `pnpm dev`

Docker (Recommended for Production)

Build in the repository root directory containing the Dockerfile:

bash
docker build -t skill-base .

Image conventions: DATA_DIR=/data, DATABASE_PATH=/data/skills.db, PORT=8000. For host persistence, mount to /data inside the container:

bash
docker run -d -p 8000:8000 -v "$(pwd)/data:/data" --name skill-base-server skill-base

If you need to change the port, map both host and container ports and set PORT, e.g., -p 3000:3000 -e PORT=3000.

Data Directory Structure (Backup)

After specifying -d or mounting /data, typical contents:

text
data/
├── skills.db
├── skills.db-wal
└── skills/
    └── <skill-id>/
        └── vYYYYMMDD.HHmmss.zip

Backup: Simply copy the entire data directory during low write activity or off-peak hours.

Troubleshooting Tips

  • Port: Ensure firewall/security groups allow PORT; cloud hosts need to allow corresponding inbound traffic.
  • CLI can't connect: Client uses skb init --server <root URL> (without /api); verify the site is accessible from that machine.
  • Permissions: The -d path must be readable/writable by the process; for Docker volumes, check host directory permissions.

Relationship with skill-base-cli

After deploying the Web server, users on the client side use skb pointing to the same site root URL; see the skill-base-cli skill within the project.

Frequently asked questions

What does the Skill Base Web Deploy AI skill do?

Skill Base server deployment guide. Covers starting the Skill Base server (npx skill-base), Docker configuration, port mapping, SQLite database backup, and platform capabilities (collections, tags, GitHub import). For deploying and operating the Skill Base platform itself only.

Why use Skill Base Web Deploy on TypingMind?

Because you install it once and use it with any model. Skill Base Web Deploy is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Skill Base Web Deploy in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ginuim/skill-base/tree/main/skills/skill-base-web-deploy. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Skill Base Web Deploy?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Skill Base Web Deploy?

As many as you like. As long as a model supports skills, you can use Skill Base Web Deploy with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Skill Base Web Deploy AI skill free?

It is published on GitHub by ginuim. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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